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Driving sustainable investment in African Mining

Tech-In-Action - AI That Watches Your Belt So You Don’t Have To

AI is widely discussed in mining, but its practical application is often unclear.

In this Tech-In-Action session, Dunlop Belting Products unpacks how AI, machine vision, and digital twin technology are applied to conveyor belt management in real operating environments. Through a guided presentation supported by visual content, the session shows how multiple condition inputs are brought together into a single, intelligible view of belt health and operational risk.

Delegates will be taken through how belt behaviour is analysed over time, how visible failures such as tears, mistracking, and splice degradation are identified, and how predictive intelligence supports better maintenance and operational decisions. The session also demonstrates how failures can be traced from site conditions back to manufacturing and laboratory insight, closing the loop between operation and production.

The presentation focuses on what AI means in practice: continuous monitoring, learning from operating conditions, and reporting by exception so teams can focus on action rather than data.

Wednesday 11 February 11:40 - 12:00 Technology and Innovation Hub Nubian Pyramids Stage (CTICC2 - Ground Floor - Exhibition Hall)

Disruptive technologies

Add to calendar 02/11/2026 11:40 02/11/2026 12:00 Tech-In-Action - AI That Watches Your Belt So You Don’t Have To

AI is widely discussed in mining, but its practical application is often unclear.

In this Tech-In-Action session, Dunlop Belting Products unpacks how AI, machine vision, and digital twin technology are applied to conveyor belt management in real operating environments. Through a guided presentation supported by visual content, the session shows how multiple condition inputs are brought together into a single, intelligible view of belt health and operational risk.

Delegates will be taken through how belt behaviour is analysed over time, how visible failures such as tears, mistracking, and splice degradation are identified, and how predictive intelligence supports better maintenance and operational decisions. The session also demonstrates how failures can be traced from site conditions back to manufacturing and laboratory insight, closing the loop between operation and production.

The presentation focuses on what AI means in practice: continuous monitoring, learning from operating conditions, and reporting by exception so teams can focus on action rather than data.

 Nubian Pyramids Stage (CTICC2 - Ground Floor - Exhibition Hall) Africa/Johannesburg
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Speakers

Bright Rwodzi

Technical Sales Executive, Dunlop Belting Products

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CTICC
Cape Town
South Africa

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9-12 February 2026

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